Arijit is a Life Sciences engineering, presales and solutioning leader with more than 25 years of experience spanning biopharma industry roles, product management and global consulting. He helps pharmaceutical and MedTech clients shape transformation programs across research, clinical development, quality, laboratories and manufacturing, connecting domain strategy with modern data, AI and platform capabilities.
aboratories across the pharmaceutical value chain face similar challenges in connecting and contextualizing scientific, operational, quality, and compliance data. This session will focus specifically on laboratories supporting commercial manufacturing and product release, where fragmented information across instruments, systems, documents, and organizational boundaries can directly affect productivity, review, investigations, compliance, and release timelines. The session will explore how modern data foundations, semantic models, knowledge graphs, analytics, AI, and agentic orchestration can work together to transform laboratory information into actionable intelligence. It will also examine why manufacturers, hyperscalers, service providers, and laboratory technology vendors must collaborate around open architectures, shared context, effective governance, and measurable operational outcomes.
Combining a concise industry overview with practical examples and short videos of working assets, the presenters will bring this evolution to life across commercial laboratory planning, investigations, review by exception, audit readiness, and intelligent workflow orchestration. Attendees will see how connected and contextualized data can enable faster, higher-quality decisions, reduce manual effort, and support increasingly intelligent operations while maintaining human oversight, explainability, traceability, and validation.
Laboratories have invested significantly in LIMS, ELN, and other informatics platforms, yet many still struggle with disconnected processes, siloed data, and manual workflows. As AI, automation, and advanced analytics mature, organizations are rethinking how laboratory ecosystems can operate as connected, intelligent environments.
This interactive roundtable will explore how life sciences organizations are modernizing laboratory operations through integrated data architectures, AI-enabled workflows, and orchestration across instruments, systems, and business processes. Participants will share experiences, challenges, and practical approaches to creating more agile, efficient, and insight-driven laboratories that accelerate science while maintaining quality and compliance.
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